AI/ML Engineer

Role overview Develop and deploy machine learning systems for intelligent geospatial and 3D applications. The work spans production models, LLM-powered features, and the infrastructure needed to operate and manage models over their lifecycle. This is a remote, full-time role that works closely with other disciplines.

Responsibilities - Build and deploy machine learning models for production use cases. - Develop retrieval-augmented generation (RAG) systems and applications powered by large language models. - Create MLOps pipelines to support model lifecycle management. - Collaborate with cross-functional teams to deliver AI features.

Requirements - At least three years of machine learning engineering experience. - Strong Python skills and experience with PyTorch or TensorFlow. - Experience with LLMs, vector databases, and RAG architectures. - Understanding of cloud machine learning services and deployment patterns.